{"id":"W2548604196","doi":"10.5772/64099","title":"Upper Ocean Physical and Biological Response to Typhoon Cimaron (2006) in the South China Sea","year":2016,"lang":"en","type":"book-chapter","venue":"InTech eBooks","topic":"Tropical and Extratropical Cyclones Research","field":"Earth and Planetary Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bedford Institute of Oceanography; Fisheries and Oceans Canada; Dalhousie University","funders":"Innovation and Technology Fund; Chinese University of Hong Kong; National Natural Science Foundation of China; Marine Environmental Observation Prediction and Response Network","keywords":"Typhoon; Upwelling; Sea surface temperature; Mixed layer; Phytoplankton; Oceanography; Environmental science; Storm; Climatology; Algal bloom; Bloom; Satellite; Atmospheric sciences; Geology; Nutrient; Chemistry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001165881,0.0002343565,0.0001440143,0.0001442233,0.0001653693,0.0002706401,0.0001685349,0.000271538,0.0005093793],"category_scores_gemma":[0.0001485869,0.00009114976,0.0003678206,0.0002361171,0.0001772942,0.00019217,0.0002949203,0.0001508355,0.00005766012],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006349177,"about_ca_system_score_gemma":0.0002578186,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02747444,"about_ca_topic_score_gemma":0.0247129,"domain_scores_codex":[0.9999844,0.00000299416,0.000001084199,0.000003756976,0.00000364297,0.000004142021],"domain_scores_gemma":[0.9999731,0.000004712861,0.00000877147,0.0000024307,0.000003397701,0.00000757406],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005762217,0.0001962681,0.4995356,0.0004280113,0.0002721932,0.001376146,0.0009356038,0.3643291,0.06395902,0.002689493,0.005646625,0.06005567],"study_design_scores_gemma":[0.00003514808,0.0001877003,0.8466185,0.00003920386,0.0000686569,0.0001113155,0.0003580849,0.1452798,0.004162555,0.0008422227,0.002267654,0.0000290923],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977601,0.0002956769,0.0001673499,0.00007670853,0.00001263589,0.000003334867,0.0001977917,0.00001632179,0.001470161],"genre_scores_gemma":[0.9986215,0.0003491489,0.0001707603,0.00002453227,0.000006147444,0.000003483327,0.0002602932,0.000004752398,0.0005593355],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02747444,"threshold_uncertainty_score":0.05462903,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365560576471856,"score_gpt":0.2418666571048737,"score_spread":0.2182110513401551,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}